{"id":"W2171257316","doi":"10.1101/007583","title":"UniqTag: Content-derived unique and stable identifiers for gene annotation","year":2014,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia; BC Cancer Agency","funders":"Natural Sciences and Engineering Research Council of Canada; Genome British Columbia; Genome Canada","keywords":"Ensembl; Identifier; Unique identifier; Annotation; Gene; Genome; Gene Annotation; Computational biology; Sequence (biology); String (physics); Genome project; Computer science; Reference genome; Gene nomenclature; Genetics; Biology; Genomics; Mathematics; Programming language","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005186388,0.001723209,0.001657633,0.004465505,0.002519984,0.003485012,0.003639973,0.002249674,0.01793074],"category_scores_gemma":[0.01426374,0.002075492,0.001253527,0.004953905,0.001181753,0.004107598,0.004284956,0.003786877,0.02756437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001307485,"about_ca_system_score_gemma":0.001970383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001344387,"about_ca_topic_score_gemma":0.002369112,"domain_scores_codex":[0.9963952,0.0007239121,0.0004460017,0.001090655,0.001038848,0.0003054658],"domain_scores_gemma":[0.9922311,0.001898659,0.001116077,0.003071713,0.00116204,0.0005204015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004104496,0.000252864,0.01034942,0.002202787,0.0003224943,0.001209155,0.002323062,0.003339537,0.2893181,0.02986713,0.406529,0.250182],"study_design_scores_gemma":[0.0006129433,0.0005066132,0.01044975,0.0005345516,0.0002150862,0.002609233,0.0004279307,0.0366377,0.2184568,0.0464243,0.6826434,0.0004817627],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02072507,0.0008775948,0.6923996,0.0005290603,0.001311596,0.0003441847,0.04899132,0.22852,0.00630158],"genre_scores_gemma":[0.05465623,0.0005750959,0.7192016,0.0005610145,0.0004232803,0.00129828,0.1443442,0.06992432,0.009015953],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01793074,"threshold_uncertainty_score":0.05998433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01947830540832251,"score_gpt":0.2206725868869663,"score_spread":0.2011942814786437,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}